On 05/15/2015 04:40 PM, Adam Laža
wrote:
Hi all,
I've got some data
from UAS (SenseFly eBee) exported as point
cloud. I'd like to ask if there's any way
how to classify the data in GRASS. As an
input I have a point cloud exported in .las
or .txt file. As an output I need another
.las file containing only terrain (I need to
filter out objects, buildings and
vegetation) for next step which is
generating DTM.
Using the libLAS utility 'las2las' you can filter out only those
points with classification "ground" (the classification value is 2)
like so:
las2las in.las --output=ground.las --keep-classes 2
You can find all the point classes in this doc:
http://www.asprs.org/a/society/committees/standards/LAS_1_4_r13.pdf
I've already tried
some modules, import(r.in.lidar, v.in.lidar)
works well. Then I focused on v.lidar.*
modules (v.lidar.edgedetection,
v.lidar.growing, v.lidar.correction) but
already the first step of recognizing and
extracting object didn't work for me. I
suppose it's due to the v.lidar.* modules
need data only from LiDAR, but I have data
from phtogrammetry (eBee carries Canon RGB
camera).
Any idea how to
classify my data?
Thank in advance,
Adam
Data sample at google
drive:
las:
https://drive.google.com/file/d/0B3qa8r8b0sq0TTdnSVNHdE1UQ2M/view?usp=sharing
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